Flight Delay Prediction

Repository for Big Data Big Impact flight delay prediction project - 2025

📋 Table of Contents

• Overview
• Features
• Team Structure
• Requirements
• Installation
• Usage
• Data Sources
• Model Architecture
• Results
• Contributing
• License

🎯 Overview

[Provide a brief description of your project, its goals, and its significance in the context of flight delay prediction]

✨ Features

• [List key features of your prediction model]
• [Highlight unique aspects of your approach]
• [Mention any special implementations or innovations]

👥 Team Structure

Project Leads

• [Project Lead 1]
• [Project Lead 2]

Analysis Team

• [Team Member 1]
• [Team Member 2]

Platform Team

• Ian Wilson
• [Team Member]
• [Team Member]
• [Team Member]

Data Visualization Team

• [Team Member]
• [Team Member]
• [Team Member]
• [Team Member]
• [Team Member]
• [Team Member]

📋 Requirements

[List any prerequisites, dependencies, or system requirements]

Prerequisites

Before you begin, ensure you have met the following requirements:

System Requirements

• Node.js: Make sure you have Node.js installed (version 12 or above)
  • Link to install: Node
• npm or yarn: You should have npm or yarn installed to manage dependencies
  • Link to install: npm

Development Environment

• Code Editor: Any modern code editor with JavaScript/React support
• Git: Version control system for cloning the repository
• Modern Web Browser: Latest versions of Chrome, Firefox, or Safari

Required Accounts & Services

• Firebase Account: Set up Firebase for authentication
  • Firebase Authentication enabled for Google sign-in
  • Firebase configuration details for your project

Optional Tools

• Chrome DevTools: For debugging and development
• Tailwind CSS: Understanding of Tailwind for styling (used throughout the project)
• ESLint: For code linting (configuration included in project)
• Prettier: For code formatting (configuration included in project)

Browser Support

• Chrome/Edge (latest)
• Firefox (latest)
• Safari (latest)

🚀 Installation

# Example installation steps
git clone https://github.com/yourusername/flight-delay-prediction.git
cd flight-delay-prediction
pip install -r requirements.txt

💻 Usage

# Example code usage
from flight_delay import predict

# Predict delay for a flight
prediction = predict(flight_data)

📊 Data Sources

• Source 1: [Description]
• Source 2: [Description]
• Data preprocessing steps:
  • Step 1
  • Step 2
  • Step 3

🏗️ Model Architecture

• Model type: [Description]
• Key components:
  • Component 1
  • Component 2
• Training approach:
  • [Training details]

📈 Results

• Accuracy metrics:
  • Metric 1: Value
  • Metric 2: Value
• Performance statistics
• Comparative analysis

🤝 Contributing

1. Fork the repository
2. Create your feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add some amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

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Made with ❤️ by the Big Data Big Impact Team